Skip to main content
OpenTrials
Completed

NCT Number: NCT05261633

Diffusion MRI of the Abdomen

The purpose of this research is to see if a new magnetic resonance imaging (MRI) method will be able to improve the images taken of the abdomen. This new method includes some changes to help avoid movements that may disrupt the images like breathing, heartbeats and other involuntary motion that occurs in the abdomen. This study will these methods in healthy volunteers and validate them in patients with known liver metastases in a single contrast-enhanced MRI visit.

Completed

Looking for future studies?

Notify Me

Key information

Conditions

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

University of Wisconsin School of Medicine and Public Health

Madison, Wisconsin, 53792, United States

About this study

This study will develop and validate novel DW-MRI methods with unprecedented robustness to motion, favorable image quality, and quantitative precision for abdominal imaging. Upon successful completion, these methods will have broad applications, including the assessment of cancer, fibrosis and other disease processes in various abdominal organs such as the liver, pancreas, kidneys, bowel and beyond.

The primary objective is to demonstrate precise quantitative diffusion parameter mapping that is achieved by the novel, motion-robust, low-distortion DW-MRI methods in a representative and clinically relevant application, for the assessment of liver metastatic disease. Specifically, the investigators will:

  • Compare the repeatability of DW-MRI methods by calculating the squared difference between each pair of repeated ADC measurements in lesions and healthy tissue, and will model this value including the DW-MRI method as a covariate using Generalized Estimating Equations (GEE).

Secondary objectives include optimization of the methods in healthy volunteers, assessment of image quality and distortions, as well gathering preliminary data for assessment of sensitivity and specificity for detection of lesions:

  • Optimization in healthy volunteers
  • (Aim 1) Optimized bh, M1 and M2 parameters by minimization of the mean squared error and bias of ADC quantification across the liver
  • (Aim 2) Optimized motion-corrected averaging via image quality assessment by three radiologists using a Likert scale.
  • SNR (signal-to-noise ratio) will be evaluated for each DW-MRI dataset, using an expectation-maximization method, accounting for parallel imaging, spatially varying noise, and magnitude operation.
  • To assess image distortions in DW-MRI, the cross-correlation coefficient (CCC) will be used to assess alignment between each of the DW-MRI datasets and the reference T2-weighted acquisition.
  • Each DW-MRI reconstruction will be evaluated by three radiologists using a Likert scale between 0 (worst/non-diagnostic) and 4 (best) for several criteria: motion artifacts, spatial resolution, distortions, apparent SNR, and overall image quality. The post-contrast images will serve as a guide to assess for artifacts by demonstrating the liver and the lesions.
  • Per-lesion sensitivity, specificity, and accuracy will be assessed for each DW-MRI method. McNemar's test will be used to compare the sensitivity and specificity between methods.
  • Intra-reader variability will be assessed by each reader will repeating ADC measurements after two months.
  • Inter-reader variability will be assessed in ADC measurements by comparing matching lesions, based on the recorded lesion location across readers.

Specific Aims Aim 1: Optimize a reliable, motion-robust DW-MRI of the abdomen in healthy volunteers.

Aim 2: Optimize, in healthy volunteers, a high-resolution, low-distortion, motion-robust DW-MRI of the abdomen through the synergistic combination of motion-robust DW-MRI with state-of-the-art low-distortion techniques.

Aim 3: Demonstrate excellent image quality and precise quantitative diffusion parameter mapping using the novel DW-MRI methods in a representative and clinically relevant application for the assessment of liver metastases, by evaluating in patients:

3a. Quantitative and subjective image quality metrics. 3b. Precision (test-retest repeatability) of ADC measurements in the liver (including healthy parenchyma and lesions) by novel vs. standard DW-MRI methods.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

for Healthy Volunteers:

  • 18 years of age or older

Exclusion criteria

for Healthy Volunteers:

  • Patients with contraindication to MRI (e.g. pacemaker, contraindicated metallic implants, claustrophobia, etc)
  • Pregnant or trying to become pregnant (as determined by self-report during MRI safety screening)

Inclusion criteria

for Patients:

  • 18 years of age or older
  • Patients with at least one of the following:
  • Radiologically visible solid tumor liver metastasis, with at least one metastatic liver lesion must be a minimum of 8 mm in longest diameter
  • Patients presenting for liver lesion biopsy

Exclusion criteria

for Patients:

  • Patients with contraindication to MRI (e.g. pacemaker, contraindicated metallic implants, claustrophobia, etc)
  • Patients with known contraindication to GBCA such as severe kidney disease or previously documented GFR < 30 ml/min/1.73 m2
  • Patients requiring intravenous (IV) conscious sedation for imaging are not eligible; patients requiring mild, oral anxiolytics for the MRI will be allowed to participate as long as the following criteria are met:
  • The subject has their own prescription for the medication.
  • The informed consent process is conducted prior to the self-administration of this medication
  • They come to the research visit with a driver
  • Pregnant or trying to become pregnant (as determined by self-report during MRI safety screening)
  • Stent in bile ducts
  • Partial hepatectomy

Treatment and study plan

Diffusion Weighted Magnetic Resonance Imaging

Device

Diffusion-weighted (DW)-MRI has a unique ability to probe tissue microstructure without the need for ionizing radiation or intravenous contrast agents. DW-MRI of the abdomen is utilized in detection, staging, and treatment surveillance of malignancies, and has shown great promise in various other applications, including for the assessment of fibrosis in the liver, pancreas, kidneys, and other organs.

Other names: DW-MRI

Primary outcomes

  1. Squared difference between each pair of repeated ADC measurements

    Time frame: up to 1.5 hours

    Compare the repeatability of DW-MRI methods by calculating the squared difference between each pair of repeated apparent diffusion coefficient (ADC) measurements in lesions and healthy tissue, and will model this value including the DW-MRI method as a covariate using Generalized Estimating Equations (GEE).

Secondary outcomes

  1. Mean Squared Error of ADC in images from Healthy Volunteers

    Time frame: up to 1.5 hours

    Optimized bh, M1 and M2 parameters in healthy volunteers by minimization of the mean squared error and bias of ADC quantification across the liver.

  2. Image Quality Score in images from Healthy Volunteers

    Time frame: up to 1.5 hours

    Optimized motion-corrected averaging in healthy volunteers via image quality assessment by three radiologists using a Likert scale, ranging between 0 (worst/non-diagnostic) and 4 (best).

  3. Signal-to-Noise Ratio (SNR)

    Time frame: up to 1.5 hours

    SNR will be evaluated for each DW-MRI dataset, using an expectation-maximization method, accounting for parallel imaging, spatially varying noise, and magnitude operation

  4. Cross-correlation coefficient (CCC) of images

    Time frame: up to 1.5 hours

    To assess image distortions in DW-MRI, the cross-correlation coefficient (CCC) will be used to assess alignment between each of the DW-MRI datasets and the reference T2-weighted acquisition.

  5. Overall Image Quality Score

    Time frame: up to 1.5 hours

    Each DW-MRI reconstruction will be evaluated by three radiologists using a Likert scale between 0 (worst/non-diagnostic) and 4 (best) for several criteria: motion artifacts, spatial resolution, distortions, apparent SNR, and overall image quality. The post-contrast images will serve as a guide to assess for artifacts by demonstrating the liver and the lesions.

  6. Sensitivity: Number of True Positive Assessments divided by Number of All Positive Assessments

    Time frame: up to 1.5 hours

    Per-lesion sensitivity will be assessed for each DW-MRI method. McNemar's test will be used to compare the sensitivity and specificity between methods.

  7. Specificity: Number of True Negative Assessments divided by Number of All Negative Assessments

    Time frame: up to 1.5 hours

    Per-lesion specificity will be assessed for each DW-MRI method. McNemar's test will be used to compare the sensitivity and specificity between methods.

  8. Accuracy: Number of Correct Assessments divided by Number of All Assessments

    Time frame: up to 1.5 hours

    Per-lesion accuracy will be assessed for each DW-MRI method. McNemar's test will be used to compare the sensitivity and specificity between methods.

  9. Repeat ADC Measurements to Assess Intra-Reader Variability

    Time frame: up to 1.5 hours

    Intra-reader variability will be assessed by each reader with repeating ADC measurements after two months

  10. ACD Measures For Each Reader to assess Inter-Reader Variability

    Time frame: up to 1.5 hours

    Inter-reader variability will be assessed in ADC measurements by comparing matching lesions, based on the recorded lesion location across readers.

Sponsors and collaborators

Lead sponsor

University of Wisconsin, Madison

Other

Collaborators

  • National Institute for Biomedical Imaging and Bioengineering (NIBIB)

Registry information

Official study title

Diffusion Magnetic Resonance Imaging (MRI) of the Abdomen

Important dates

Study start
2023
Primary completion
2026
Study completion
2026
First posted
Mar 2, 2022
Registry last updated
Jul 2, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.